Seismic Damage Prediction of Multistory Brick Buildings Based on RBF Neural Network Model

Ling Wang; Li Sun; Dan Dan Kong; Xi Yuan Liu

doi:10.4028/www.scientific.net/AMR.163-167.4213

Paper Titles

Study on Seismic Performance of Coupled Shear Walls with Vertical Dampers
p.4185

Seismic Performance of Reinforced Concrete Pier with Inside Concrete Filled Steel Tube
p.4194

Analysis of Soil-Structure Interaction (SSI) Effects on Seismic Response of Base-Isolated Structures
p.4199

PFC Simulation on Shaking Table Concrete-Faced Rockfill Dam Model Test
p.4208

Seismic Damage Prediction of Multistory Brick Buildings Based on RBF Neural Network Model
p.4213

Seismic Response of the Asymmetric Structure Isolated by the Friction Sliding Bearings
p.4218

Wind Vibration Response Analysis for Plate-Cone Reticulated Shell
p.4222

Seismic Behavior of Shifang Telecom Building under Conventional Earthquakes
p.4227

Static Elasto-Plastic Analysis of Buildings with Steel Tower on Top under Rare Earthquake
p.4232

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Seismic Damage Prediction of Multistory Brick Buildings Based on RBF Neural Network Model

Abstract:

Seismic damage prediction of multistory brick buildings is a multi-factor nonlinear complex problems, this paper analyzed the deficiencies of the traditional methods for predicting the seismic damage, so a prediction model of multistory brick buildings based on RBF Neural Network model is established, RBF network structure elements and parameters are studied and obtained. With examples the research proved that the prediction results are similar to the actual seismic damage to multistory brick buildings by the RBP neural network model, the analytic method and process discussed in this paper can also be applied to seismic damage prediction of brick buildings of urban earthquake disaster prevention planning.